Mohana S Dave
ML @ Apple
- Role
- Software Engineer - Ai Ml at Apple
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Mohana S Dave
As a Data Engineer at Goldman Sachs, I have extensive experience building and managing end-to-end ETL pipelines, particularly for sensitive data. These pipelines have been primarily engineered to handle large-scale data operations while withholding precision and efficiency. The pipeline processes vast volumes of data, catering to a diverse user base, and ensuring stringent concurrency requirements.To address the large data size, I architected a distributed data processing system incorporating parallelism to optimize data ingestion, transformation, and loading. This was achieved using Apache Spark and Hadoop, allowing seamless data partitioning and distributed processing, ensuring data integrity and high performance. The pipeline’s robustness was maintained with thorough error handling mechanisms, including automated data validation and cleansing routines to guarantee data quality (wrote extensive CI tests). This was coupled with a comprehensive monitoring and alerting system to proactively identify and rectify any anomalies (added Change Data Capture feature within AWS RedShift), thereby ensuring a fault-tolerant infrastructure. Work is being done in the direction of optimizing resource allocation in Snowflake by focusing on advanced optimization techniques to reduce storage costs.All of these updates and implementations were coupled with fluid communication with internal and external stakeholders to align technical solutions with their business objectives, ensuring transparency and responsiveness of the data warehouse. My efforts helps the firm in making data-driven decisions and reporting at a large scale, with a keen focus on data size, user concurrency, and error resilience.
Experience
Software Engineer - Ai Ml
Oct 2025 — Present · Seattle, WA, US
Education
LDRP Institute of Technology & Research, Gujarat Technological University
BE - Bachelor of Engineering, Computer Engineering
2017 — 2021
Mays Business School - Texas A&M University
Master of Science - MS, Management Information Systems, General
Udgam School for Children - India
HSC, Mathematics, Physics, Chemistry, Computer Science and English
2015 — 2017
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